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cs.NE2026
Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control
Tom Maus, Stephan Frank, Tobias Glasmachers
Reinforcement learning (RL) is still rarely applied in industrial control, partly due to the difficulty of training reliable agents for real-world conditions. This work investigate…
cs.NE2025
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Anna V. Kononova, Niki van Stein, Olaf Mersmann +14
Benchmarking has driven scientific progress in Evolutionary Computation, yet current practices fall short of real-world needs. Widely used synthetic suites such as BBOB and CEC iso…